.TH "tfsm" 3 "Version 3.12.0" "LAPACK" \" -*- nroff -*- .ad l .nh .SH NAME tfsm \- tfsm: triangular-matrix solve, RFP format .SH SYNOPSIS .br .PP .SS "Functions" .in +1c .ti -1c .RI "subroutine \fBctfsm\fP (transr, side, uplo, trans, diag, m, n, alpha, a, b, ldb)" .br .RI "\fBCTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. " .ti -1c .RI "subroutine \fBdtfsm\fP (transr, side, uplo, trans, diag, m, n, alpha, a, b, ldb)" .br .RI "\fBDTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. " .ti -1c .RI "subroutine \fBstfsm\fP (transr, side, uplo, trans, diag, m, n, alpha, a, b, ldb)" .br .RI "\fBSTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. " .ti -1c .RI "subroutine \fBztfsm\fP (transr, side, uplo, trans, diag, m, n, alpha, a, b, ldb)" .br .RI "\fBZTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. " .in -1c .SH "Detailed Description" .PP .SH "Function Documentation" .PP .SS "subroutine ctfsm (character transr, character side, character uplo, character trans, character diag, integer m, integer n, complex alpha, complex, dimension( 0: * ) a, complex, dimension( 0: ldb\-1, 0: * ) b, integer ldb)" .PP \fBCTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. .PP \fBPurpose:\fP .RS 4 .PP .nf Level 3 BLAS like routine for A in RFP Format\&. CTFSM solves the matrix equation op( A )*X = alpha*B or X*op( A ) = alpha*B where alpha is a scalar, X and B are m by n matrices, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = A**H\&. A is in Rectangular Full Packed (RFP) Format\&. The matrix X is overwritten on B\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fITRANSR\fP .PP .nf TRANSR is CHARACTER*1 = 'N': The Normal Form of RFP A is stored; = 'C': The Conjugate-transpose Form of RFP A is stored\&. .fi .PP .br \fISIDE\fP .PP .nf SIDE is CHARACTER*1 On entry, SIDE specifies whether op( A ) appears on the left or right of X as follows: SIDE = 'L' or 'l' op( A )*X = alpha*B\&. SIDE = 'R' or 'r' X*op( A ) = alpha*B\&. Unchanged on exit\&. .fi .PP .br \fIUPLO\fP .PP .nf UPLO is CHARACTER*1 On entry, UPLO specifies whether the RFP matrix A came from an upper or lower triangular matrix as follows: UPLO = 'U' or 'u' RFP A came from an upper triangular matrix UPLO = 'L' or 'l' RFP A came from a lower triangular matrix Unchanged on exit\&. .fi .PP .br \fITRANS\fP .PP .nf TRANS is CHARACTER*1 On entry, TRANS specifies the form of op( A ) to be used in the matrix multiplication as follows: TRANS = 'N' or 'n' op( A ) = A\&. TRANS = 'C' or 'c' op( A ) = conjg( A' )\&. Unchanged on exit\&. .fi .PP .br \fIDIAG\fP .PP .nf DIAG is CHARACTER*1 On entry, DIAG specifies whether or not RFP A is unit triangular as follows: DIAG = 'U' or 'u' A is assumed to be unit triangular\&. DIAG = 'N' or 'n' A is not assumed to be unit triangular\&. Unchanged on exit\&. .fi .PP .br \fIM\fP .PP .nf M is INTEGER On entry, M specifies the number of rows of B\&. M must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER On entry, N specifies the number of columns of B\&. N must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIALPHA\fP .PP .nf ALPHA is COMPLEX On entry, ALPHA specifies the scalar alpha\&. When alpha is zero then A is not referenced and B need not be set before entry\&. Unchanged on exit\&. .fi .PP .br \fIA\fP .PP .nf A is COMPLEX array, dimension (N*(N+1)/2) NT = N*(N+1)/2\&. On entry, the matrix A in RFP Format\&. RFP Format is described by TRANSR, UPLO and N as follows: If TRANSR='N' then RFP A is (0:N,0:K-1) when N is even; K=N/2\&. RFP A is (0:N-1,0:K) when N is odd; K=N/2\&. If TRANSR = 'C' then RFP is the Conjugate-transpose of RFP A as defined when TRANSR = 'N'\&. The contents of RFP A are defined by UPLO as follows: If UPLO = 'U' the RFP A contains the NT elements of upper packed A either in normal or conjugate-transpose Format\&. If UPLO = 'L' the RFP A contains the NT elements of lower packed A either in normal or conjugate-transpose Format\&. The LDA of RFP A is (N+1)/2 when TRANSR = 'C'\&. When TRANSR is 'N' the LDA is N+1 when N is even and is N when is odd\&. See the Note below for more details\&. Unchanged on exit\&. .fi .PP .br \fIB\fP .PP .nf B is COMPLEX array, dimension (LDB,N) Before entry, the leading m by n part of the array B must contain the right-hand side matrix B, and on exit is overwritten by the solution matrix X\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER On entry, LDB specifies the first dimension of B as declared in the calling (sub) program\&. LDB must be at least max( 1, m )\&. Unchanged on exit\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP \fBFurther Details:\fP .RS 4 .PP .nf We first consider Standard Packed Format when N is even\&. We give an example where N = 6\&. AP is Upper AP is Lower 00 01 02 03 04 05 00 11 12 13 14 15 10 11 22 23 24 25 20 21 22 33 34 35 30 31 32 33 44 45 40 41 42 43 44 55 50 51 52 53 54 55 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:5,0:2) consists of the last three columns of AP upper\&. The lower triangle A(4:6,0:2) consists of conjugate-transpose of the first three columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(1:6,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:2,0:2) consists of conjugate-transpose of the last three columns of AP lower\&. To denote conjugate we place -- above the element\&. This covers the case N even and TRANSR = 'N'\&. RFP A RFP A -- -- -- 03 04 05 33 43 53 -- -- 13 14 15 00 44 54 -- 23 24 25 10 11 55 33 34 35 20 21 22 -- 00 44 45 30 31 32 -- -- 01 11 55 40 41 42 -- -- -- 02 12 22 50 51 52 Now let TRANSR = 'C'\&. RFP A in both UPLO cases is just the conjugate- transpose of RFP A above\&. One therefore gets: RFP A RFP A -- -- -- -- -- -- -- -- -- -- 03 13 23 33 00 01 02 33 00 10 20 30 40 50 -- -- -- -- -- -- -- -- -- -- 04 14 24 34 44 11 12 43 44 11 21 31 41 51 -- -- -- -- -- -- -- -- -- -- 05 15 25 35 45 55 22 53 54 55 22 32 42 52 We next consider Standard Packed Format when N is odd\&. We give an example where N = 5\&. AP is Upper AP is Lower 00 01 02 03 04 00 11 12 13 14 10 11 22 23 24 20 21 22 33 34 30 31 32 33 44 40 41 42 43 44 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:4,0:2) consists of the last three columns of AP upper\&. The lower triangle A(3:4,0:1) consists of conjugate-transpose of the first two columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(0:4,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:1,1:2) consists of conjugate-transpose of the last two columns of AP lower\&. To denote conjugate we place -- above the element\&. This covers the case N odd and TRANSR = 'N'\&. RFP A RFP A -- -- 02 03 04 00 33 43 -- 12 13 14 10 11 44 22 23 24 20 21 22 -- 00 33 34 30 31 32 -- -- 01 11 44 40 41 42 Now let TRANSR = 'C'\&. RFP A in both UPLO cases is just the conjugate- transpose of RFP A above\&. One therefore gets: RFP A RFP A -- -- -- -- -- -- -- -- -- 02 12 22 00 01 00 10 20 30 40 50 -- -- -- -- -- -- -- -- -- 03 13 23 33 11 33 11 21 31 41 51 -- -- -- -- -- -- -- -- -- 04 14 24 34 44 43 44 22 32 42 52 .fi .PP .RE .PP .PP Definition at line \fB296\fP of file \fBctfsm\&.f\fP\&. .SS "subroutine dtfsm (character transr, character side, character uplo, character trans, character diag, integer m, integer n, double precision alpha, double precision, dimension( 0: * ) a, double precision, dimension( 0: ldb\-1, 0: * ) b, integer ldb)" .PP \fBDTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. .PP \fBPurpose:\fP .RS 4 .PP .nf Level 3 BLAS like routine for A in RFP Format\&. DTFSM solves the matrix equation op( A )*X = alpha*B or X*op( A ) = alpha*B where alpha is a scalar, X and B are m by n matrices, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = A**T\&. A is in Rectangular Full Packed (RFP) Format\&. The matrix X is overwritten on B\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fITRANSR\fP .PP .nf TRANSR is CHARACTER*1 = 'N': The Normal Form of RFP A is stored; = 'T': The Transpose Form of RFP A is stored\&. .fi .PP .br \fISIDE\fP .PP .nf SIDE is CHARACTER*1 On entry, SIDE specifies whether op( A ) appears on the left or right of X as follows: SIDE = 'L' or 'l' op( A )*X = alpha*B\&. SIDE = 'R' or 'r' X*op( A ) = alpha*B\&. Unchanged on exit\&. .fi .PP .br \fIUPLO\fP .PP .nf UPLO is CHARACTER*1 On entry, UPLO specifies whether the RFP matrix A came from an upper or lower triangular matrix as follows: UPLO = 'U' or 'u' RFP A came from an upper triangular matrix UPLO = 'L' or 'l' RFP A came from a lower triangular matrix Unchanged on exit\&. .fi .PP .br \fITRANS\fP .PP .nf TRANS is CHARACTER*1 On entry, TRANS specifies the form of op( A ) to be used in the matrix multiplication as follows: TRANS = 'N' or 'n' op( A ) = A\&. TRANS = 'T' or 't' op( A ) = A'\&. Unchanged on exit\&. .fi .PP .br \fIDIAG\fP .PP .nf DIAG is CHARACTER*1 On entry, DIAG specifies whether or not RFP A is unit triangular as follows: DIAG = 'U' or 'u' A is assumed to be unit triangular\&. DIAG = 'N' or 'n' A is not assumed to be unit triangular\&. Unchanged on exit\&. .fi .PP .br \fIM\fP .PP .nf M is INTEGER On entry, M specifies the number of rows of B\&. M must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER On entry, N specifies the number of columns of B\&. N must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIALPHA\fP .PP .nf ALPHA is DOUBLE PRECISION On entry, ALPHA specifies the scalar alpha\&. When alpha is zero then A is not referenced and B need not be set before entry\&. Unchanged on exit\&. .fi .PP .br \fIA\fP .PP .nf A is DOUBLE PRECISION array, dimension (NT) NT = N*(N+1)/2\&. On entry, the matrix A in RFP Format\&. RFP Format is described by TRANSR, UPLO and N as follows: If TRANSR='N' then RFP A is (0:N,0:K-1) when N is even; K=N/2\&. RFP A is (0:N-1,0:K) when N is odd; K=N/2\&. If TRANSR = 'T' then RFP is the transpose of RFP A as defined when TRANSR = 'N'\&. The contents of RFP A are defined by UPLO as follows: If UPLO = 'U' the RFP A contains the NT elements of upper packed A either in normal or transpose Format\&. If UPLO = 'L' the RFP A contains the NT elements of lower packed A either in normal or transpose Format\&. The LDA of RFP A is (N+1)/2 when TRANSR = 'T'\&. When TRANSR is 'N' the LDA is N+1 when N is even and is N when is odd\&. See the Note below for more details\&. Unchanged on exit\&. .fi .PP .br \fIB\fP .PP .nf B is DOUBLE PRECISION array, dimension (LDB,N) Before entry, the leading m by n part of the array B must contain the right-hand side matrix B, and on exit is overwritten by the solution matrix X\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER On entry, LDB specifies the first dimension of B as declared in the calling (sub) program\&. LDB must be at least max( 1, m )\&. Unchanged on exit\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP \fBFurther Details:\fP .RS 4 .PP .nf We first consider Rectangular Full Packed (RFP) Format when N is even\&. We give an example where N = 6\&. AP is Upper AP is Lower 00 01 02 03 04 05 00 11 12 13 14 15 10 11 22 23 24 25 20 21 22 33 34 35 30 31 32 33 44 45 40 41 42 43 44 55 50 51 52 53 54 55 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:5,0:2) consists of the last three columns of AP upper\&. The lower triangle A(4:6,0:2) consists of the transpose of the first three columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(1:6,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:2,0:2) consists of the transpose of the last three columns of AP lower\&. This covers the case N even and TRANSR = 'N'\&. RFP A RFP A 03 04 05 33 43 53 13 14 15 00 44 54 23 24 25 10 11 55 33 34 35 20 21 22 00 44 45 30 31 32 01 11 55 40 41 42 02 12 22 50 51 52 Now let TRANSR = 'T'\&. RFP A in both UPLO cases is just the transpose of RFP A above\&. One therefore gets: RFP A RFP A 03 13 23 33 00 01 02 33 00 10 20 30 40 50 04 14 24 34 44 11 12 43 44 11 21 31 41 51 05 15 25 35 45 55 22 53 54 55 22 32 42 52 We then consider Rectangular Full Packed (RFP) Format when N is odd\&. We give an example where N = 5\&. AP is Upper AP is Lower 00 01 02 03 04 00 11 12 13 14 10 11 22 23 24 20 21 22 33 34 30 31 32 33 44 40 41 42 43 44 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:4,0:2) consists of the last three columns of AP upper\&. The lower triangle A(3:4,0:1) consists of the transpose of the first two columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(0:4,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:1,1:2) consists of the transpose of the last two columns of AP lower\&. This covers the case N odd and TRANSR = 'N'\&. RFP A RFP A 02 03 04 00 33 43 12 13 14 10 11 44 22 23 24 20 21 22 00 33 34 30 31 32 01 11 44 40 41 42 Now let TRANSR = 'T'\&. RFP A in both UPLO cases is just the transpose of RFP A above\&. One therefore gets: RFP A RFP A 02 12 22 00 01 00 10 20 30 40 50 03 13 23 33 11 33 11 21 31 41 51 04 14 24 34 44 43 44 22 32 42 52 .fi .PP .RE .PP .PP Definition at line \fB275\fP of file \fBdtfsm\&.f\fP\&. .SS "subroutine stfsm (character transr, character side, character uplo, character trans, character diag, integer m, integer n, real alpha, real, dimension( 0: * ) a, real, dimension( 0: ldb\-1, 0: * ) b, integer ldb)" .PP \fBSTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. .PP \fBPurpose:\fP .RS 4 .PP .nf Level 3 BLAS like routine for A in RFP Format\&. STFSM solves the matrix equation op( A )*X = alpha*B or X*op( A ) = alpha*B where alpha is a scalar, X and B are m by n matrices, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = A**T\&. A is in Rectangular Full Packed (RFP) Format\&. The matrix X is overwritten on B\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fITRANSR\fP .PP .nf TRANSR is CHARACTER*1 = 'N': The Normal Form of RFP A is stored; = 'T': The Transpose Form of RFP A is stored\&. .fi .PP .br \fISIDE\fP .PP .nf SIDE is CHARACTER*1 On entry, SIDE specifies whether op( A ) appears on the left or right of X as follows: SIDE = 'L' or 'l' op( A )*X = alpha*B\&. SIDE = 'R' or 'r' X*op( A ) = alpha*B\&. Unchanged on exit\&. .fi .PP .br \fIUPLO\fP .PP .nf UPLO is CHARACTER*1 On entry, UPLO specifies whether the RFP matrix A came from an upper or lower triangular matrix as follows: UPLO = 'U' or 'u' RFP A came from an upper triangular matrix UPLO = 'L' or 'l' RFP A came from a lower triangular matrix Unchanged on exit\&. .fi .PP .br \fITRANS\fP .PP .nf TRANS is CHARACTER*1 On entry, TRANS specifies the form of op( A ) to be used in the matrix multiplication as follows: TRANS = 'N' or 'n' op( A ) = A\&. TRANS = 'T' or 't' op( A ) = A'\&. Unchanged on exit\&. .fi .PP .br \fIDIAG\fP .PP .nf DIAG is CHARACTER*1 On entry, DIAG specifies whether or not RFP A is unit triangular as follows: DIAG = 'U' or 'u' A is assumed to be unit triangular\&. DIAG = 'N' or 'n' A is not assumed to be unit triangular\&. Unchanged on exit\&. .fi .PP .br \fIM\fP .PP .nf M is INTEGER On entry, M specifies the number of rows of B\&. M must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER On entry, N specifies the number of columns of B\&. N must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIALPHA\fP .PP .nf ALPHA is REAL On entry, ALPHA specifies the scalar alpha\&. When alpha is zero then A is not referenced and B need not be set before entry\&. Unchanged on exit\&. .fi .PP .br \fIA\fP .PP .nf A is REAL array, dimension (NT) NT = N*(N+1)/2\&. On entry, the matrix A in RFP Format\&. RFP Format is described by TRANSR, UPLO and N as follows: If TRANSR='N' then RFP A is (0:N,0:K-1) when N is even; K=N/2\&. RFP A is (0:N-1,0:K) when N is odd; K=N/2\&. If TRANSR = 'T' then RFP is the transpose of RFP A as defined when TRANSR = 'N'\&. The contents of RFP A are defined by UPLO as follows: If UPLO = 'U' the RFP A contains the NT elements of upper packed A either in normal or transpose Format\&. If UPLO = 'L' the RFP A contains the NT elements of lower packed A either in normal or transpose Format\&. The LDA of RFP A is (N+1)/2 when TRANSR = 'T'\&. When TRANSR is 'N' the LDA is N+1 when N is even and is N when is odd\&. See the Note below for more details\&. Unchanged on exit\&. .fi .PP .br \fIB\fP .PP .nf B is REAL array, dimension (LDB,N) Before entry, the leading m by n part of the array B must contain the right-hand side matrix B, and on exit is overwritten by the solution matrix X\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER On entry, LDB specifies the first dimension of B as declared in the calling (sub) program\&. LDB must be at least max( 1, m )\&. Unchanged on exit\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP \fBFurther Details:\fP .RS 4 .PP .nf We first consider Rectangular Full Packed (RFP) Format when N is even\&. We give an example where N = 6\&. AP is Upper AP is Lower 00 01 02 03 04 05 00 11 12 13 14 15 10 11 22 23 24 25 20 21 22 33 34 35 30 31 32 33 44 45 40 41 42 43 44 55 50 51 52 53 54 55 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:5,0:2) consists of the last three columns of AP upper\&. The lower triangle A(4:6,0:2) consists of the transpose of the first three columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(1:6,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:2,0:2) consists of the transpose of the last three columns of AP lower\&. This covers the case N even and TRANSR = 'N'\&. RFP A RFP A 03 04 05 33 43 53 13 14 15 00 44 54 23 24 25 10 11 55 33 34 35 20 21 22 00 44 45 30 31 32 01 11 55 40 41 42 02 12 22 50 51 52 Now let TRANSR = 'T'\&. RFP A in both UPLO cases is just the transpose of RFP A above\&. One therefore gets: RFP A RFP A 03 13 23 33 00 01 02 33 00 10 20 30 40 50 04 14 24 34 44 11 12 43 44 11 21 31 41 51 05 15 25 35 45 55 22 53 54 55 22 32 42 52 We then consider Rectangular Full Packed (RFP) Format when N is odd\&. We give an example where N = 5\&. AP is Upper AP is Lower 00 01 02 03 04 00 11 12 13 14 10 11 22 23 24 20 21 22 33 34 30 31 32 33 44 40 41 42 43 44 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:4,0:2) consists of the last three columns of AP upper\&. The lower triangle A(3:4,0:1) consists of the transpose of the first two columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(0:4,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:1,1:2) consists of the transpose of the last two columns of AP lower\&. This covers the case N odd and TRANSR = 'N'\&. RFP A RFP A 02 03 04 00 33 43 12 13 14 10 11 44 22 23 24 20 21 22 00 33 34 30 31 32 01 11 44 40 41 42 Now let TRANSR = 'T'\&. RFP A in both UPLO cases is just the transpose of RFP A above\&. One therefore gets: RFP A RFP A 02 12 22 00 01 00 10 20 30 40 50 03 13 23 33 11 33 11 21 31 41 51 04 14 24 34 44 43 44 22 32 42 52 .fi .PP .RE .PP .PP Definition at line \fB275\fP of file \fBstfsm\&.f\fP\&. .SS "subroutine ztfsm (character transr, character side, character uplo, character trans, character diag, integer m, integer n, complex*16 alpha, complex*16, dimension( 0: * ) a, complex*16, dimension( 0: ldb\-1, 0: * ) b, integer ldb)" .PP \fBZTFSM\fP solves a matrix equation (one operand is a triangular matrix in RFP format)\&. .PP \fBPurpose:\fP .RS 4 .PP .nf Level 3 BLAS like routine for A in RFP Format\&. ZTFSM solves the matrix equation op( A )*X = alpha*B or X*op( A ) = alpha*B where alpha is a scalar, X and B are m by n matrices, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = A**H\&. A is in Rectangular Full Packed (RFP) Format\&. The matrix X is overwritten on B\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fITRANSR\fP .PP .nf TRANSR is CHARACTER*1 = 'N': The Normal Form of RFP A is stored; = 'C': The Conjugate-transpose Form of RFP A is stored\&. .fi .PP .br \fISIDE\fP .PP .nf SIDE is CHARACTER*1 On entry, SIDE specifies whether op( A ) appears on the left or right of X as follows: SIDE = 'L' or 'l' op( A )*X = alpha*B\&. SIDE = 'R' or 'r' X*op( A ) = alpha*B\&. Unchanged on exit\&. .fi .PP .br \fIUPLO\fP .PP .nf UPLO is CHARACTER*1 On entry, UPLO specifies whether the RFP matrix A came from an upper or lower triangular matrix as follows: UPLO = 'U' or 'u' RFP A came from an upper triangular matrix UPLO = 'L' or 'l' RFP A came from a lower triangular matrix Unchanged on exit\&. .fi .PP .br \fITRANS\fP .PP .nf TRANS is CHARACTER*1 On entry, TRANS specifies the form of op( A ) to be used in the matrix multiplication as follows: TRANS = 'N' or 'n' op( A ) = A\&. TRANS = 'C' or 'c' op( A ) = conjg( A' )\&. Unchanged on exit\&. .fi .PP .br \fIDIAG\fP .PP .nf DIAG is CHARACTER*1 On entry, DIAG specifies whether or not RFP A is unit triangular as follows: DIAG = 'U' or 'u' A is assumed to be unit triangular\&. DIAG = 'N' or 'n' A is not assumed to be unit triangular\&. Unchanged on exit\&. .fi .PP .br \fIM\fP .PP .nf M is INTEGER On entry, M specifies the number of rows of B\&. M must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER On entry, N specifies the number of columns of B\&. N must be at least zero\&. Unchanged on exit\&. .fi .PP .br \fIALPHA\fP .PP .nf ALPHA is COMPLEX*16 On entry, ALPHA specifies the scalar alpha\&. When alpha is zero then A is not referenced and B need not be set before entry\&. Unchanged on exit\&. .fi .PP .br \fIA\fP .PP .nf A is COMPLEX*16 array, dimension (N*(N+1)/2) NT = N*(N+1)/2\&. On entry, the matrix A in RFP Format\&. RFP Format is described by TRANSR, UPLO and N as follows: If TRANSR='N' then RFP A is (0:N,0:K-1) when N is even; K=N/2\&. RFP A is (0:N-1,0:K) when N is odd; K=N/2\&. If TRANSR = 'C' then RFP is the Conjugate-transpose of RFP A as defined when TRANSR = 'N'\&. The contents of RFP A are defined by UPLO as follows: If UPLO = 'U' the RFP A contains the NT elements of upper packed A either in normal or conjugate-transpose Format\&. If UPLO = 'L' the RFP A contains the NT elements of lower packed A either in normal or conjugate-transpose Format\&. The LDA of RFP A is (N+1)/2 when TRANSR = 'C'\&. When TRANSR is 'N' the LDA is N+1 when N is even and is N when is odd\&. See the Note below for more details\&. Unchanged on exit\&. .fi .PP .br \fIB\fP .PP .nf B is COMPLEX*16 array, dimension (LDB,N) Before entry, the leading m by n part of the array B must contain the right-hand side matrix B, and on exit is overwritten by the solution matrix X\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER On entry, LDB specifies the first dimension of B as declared in the calling (sub) program\&. LDB must be at least max( 1, m )\&. Unchanged on exit\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP \fBFurther Details:\fP .RS 4 .PP .nf We first consider Standard Packed Format when N is even\&. We give an example where N = 6\&. AP is Upper AP is Lower 00 01 02 03 04 05 00 11 12 13 14 15 10 11 22 23 24 25 20 21 22 33 34 35 30 31 32 33 44 45 40 41 42 43 44 55 50 51 52 53 54 55 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:5,0:2) consists of the last three columns of AP upper\&. The lower triangle A(4:6,0:2) consists of conjugate-transpose of the first three columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(1:6,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:2,0:2) consists of conjugate-transpose of the last three columns of AP lower\&. To denote conjugate we place -- above the element\&. This covers the case N even and TRANSR = 'N'\&. RFP A RFP A -- -- -- 03 04 05 33 43 53 -- -- 13 14 15 00 44 54 -- 23 24 25 10 11 55 33 34 35 20 21 22 -- 00 44 45 30 31 32 -- -- 01 11 55 40 41 42 -- -- -- 02 12 22 50 51 52 Now let TRANSR = 'C'\&. RFP A in both UPLO cases is just the conjugate- transpose of RFP A above\&. One therefore gets: RFP A RFP A -- -- -- -- -- -- -- -- -- -- 03 13 23 33 00 01 02 33 00 10 20 30 40 50 -- -- -- -- -- -- -- -- -- -- 04 14 24 34 44 11 12 43 44 11 21 31 41 51 -- -- -- -- -- -- -- -- -- -- 05 15 25 35 45 55 22 53 54 55 22 32 42 52 We next consider Standard Packed Format when N is odd\&. We give an example where N = 5\&. AP is Upper AP is Lower 00 01 02 03 04 00 11 12 13 14 10 11 22 23 24 20 21 22 33 34 30 31 32 33 44 40 41 42 43 44 Let TRANSR = 'N'\&. RFP holds AP as follows: For UPLO = 'U' the upper trapezoid A(0:4,0:2) consists of the last three columns of AP upper\&. The lower triangle A(3:4,0:1) consists of conjugate-transpose of the first two columns of AP upper\&. For UPLO = 'L' the lower trapezoid A(0:4,0:2) consists of the first three columns of AP lower\&. The upper triangle A(0:1,1:2) consists of conjugate-transpose of the last two columns of AP lower\&. To denote conjugate we place -- above the element\&. This covers the case N odd and TRANSR = 'N'\&. RFP A RFP A -- -- 02 03 04 00 33 43 -- 12 13 14 10 11 44 22 23 24 20 21 22 -- 00 33 34 30 31 32 -- -- 01 11 44 40 41 42 Now let TRANSR = 'C'\&. RFP A in both UPLO cases is just the conjugate- transpose of RFP A above\&. One therefore gets: RFP A RFP A -- -- -- -- -- -- -- -- -- 02 12 22 00 01 00 10 20 30 40 50 -- -- -- -- -- -- -- -- -- 03 13 23 33 11 33 11 21 31 41 51 -- -- -- -- -- -- -- -- -- 04 14 24 34 44 43 44 22 32 42 52 .fi .PP .RE .PP .PP Definition at line \fB296\fP of file \fBztfsm\&.f\fP\&. .SH "Author" .PP Generated automatically by Doxygen for LAPACK from the source code\&.